Sr Specialist - Systems Engineering

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money through innovative, reliable technology products and services. This role supports enterprise observability capabilities that help teams understand the health, performance, and reliability of critical technology across data center and Cloud/SaaS environments.

You will engineer and support observability platforms that collect and analyze metrics, logs, traces, and events, while improving telemetry integrations, platform reliability, data quality, and service-health insights. Using Python, Ansible, shell scripting, APIs, and modern delivery practices, you will automate repeatable operational work and help deliver scalable, supportable solutions.

Success requires strong problem solving and sound decision making as you troubleshoot complex issues, manage platform changes, and improve operational resilience. You will collaborate across application, infrastructure, cybersecurity, and operations teams, adapting to evolving priorities while helping drive issues and improvements through resolution.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience.
• 3+ years of relevant experience in systems, platform, software, infrastructure, site reliability, or production engineering.
• Foundational knowledge of observability concepts, including metrics, logs, events, dashboards, alerting, and service health.
• Experience supporting enterprise observability platforms such as Splunk, Grafana, Prometheus, ITRS Geneos, AppDynamics, ThousandEyes, Moogsoft, or xMatters.
• Hands-on experience with Python, Ansible, and shell scripting such as Bash for system management and automation, including REST APIs and JSON or YAML.
• Foundational Linux or Windows administration and troubleshooting experience, with knowledge of networking, DNS, certificates, and identity or access controls.
• Experience with Git, code review, CI/CD, automated testing, and configuration or infrastructure as code.
• Experience using approved AI tools and appropriately validating outputs for accuracy, security, privacy, and data-handling requirements.
• Strong technical troubleshooting, problem-solving, documentation, communication, and collaboration skills, with the ability to prioritize work, exercise sound judgment, and escalate appropriately.

• Experience deploying and managing telemetry agents, collectors, forwarders, or gateways, including OpenTelemetry or OTLP.
• Experience with Splunk Enterprise or Splunk Cloud, or Grafana technologies including Alloy, Prometheus, Loki, Tempo, or Mimir.
• Experience with GCP, AWS, or Microsoft Azure and cloud-native technologies such as Kubernetes and containers.
• Experience with Kafka or comparable event-streaming technologies.
• Familiarity with Terraform, Helm, or similar infrastructure automation and delivery technologies.
• Understanding of telemetry governance and ITIL-aligned incident, problem, change, or knowledge-management practices.
• Experience working within a regulated enterprise or financial-services environment.
• Relevant certifications in observability platforms, GCP, AWS, Microsoft Azure, Kubernetes, Linux, automation, or Site Reliability Engineering.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.